Electric power two-ticket multi-service scene conflict detection and early warning system, equipment and medium

Abstract

The invention relates to the technical field of electric power detection and early warning, and discloses an electric power two-ticket multi-service scene conflict detection and early warning system and device, and a medium, and the system comprises a data collection and preprocessing module which is used for obtaining the data of an operation ticket and a work ticket; the rule engine module defines conflict detection rules of equipment and services based on the data acquired by the data acquisition and preprocessing module; the conflict detection module is used for detecting equipment conflict, safety conflict, two-ticket operation time conflict and service conflict; the early warning processing module carries out judgment according to the detection result and generates early warning information; the process management module is used for sending the real-time process state data to a user interaction module interface; and the statistical analysis module is used for analyzing the conflict detection result and the early warning result. According to the invention, through a multi-dimensional conflict identification and intelligent early warning mechanism, the safety and normalization of electric power operation are significantly improved.

Description

Technical Field

[0001] The present invention relates to the field of power detection and early warning technology, and in particular to a conflict detection and early warning system, equipment and medium for a two-ticket, multi-business scenario in power. Background Art

[0002] Power system work tickets and operation tickets are important management tools for ensuring safe production in the power industry. Work tickets are primarily used to guide and supervise on-site operations, including equipment maintenance, testing, construction, and other tasks, and clearly define the work content, safety measures, work location, operation hours, and personnel responsibilities. Operation tickets are directive documents for switching power equipment, stipulating the operation sequence, operation items, safety measures, and precautions to ensure correct and safe operation. Both are subject to a strict approval process and must be completed and issued by qualified personnel. During execution, the principle of "tickets must be kept with you at all times" must be adhered to to ensure the safe and stable operation of the power system.

[0003] However, traditional detection methods struggle to fully identify multi-dimensional conflicts such as equipment occupancy and safety measures coverage, and are unable to accurately quantify risks associated with time and business interactions. Furthermore, the fuzzy classification of early warning information and the single transmission path can easily delay the resolution of key risks. Furthermore, the lack of cross-business data integration and closed-loop tracking mechanisms for resolution leads to inefficient multi-departmental collaboration and hinders the implementation of proactive and standardized risk prevention and control. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides a conflict detection and early warning system for a two-ticket multi-business scenario of electricity to solve the above problems.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, the present invention provides a conflict detection and early warning system for a two-ticket, multi-business scenario in electricity, comprising: a data acquisition and preprocessing module for acquiring data on an operation ticket and a work ticket; A rule engine module, which defines conflict detection rules for devices and services based on the data acquired by the data acquisition and preprocessing module; The conflict detection module detects equipment conflicts, security conflicts, two-ticket operation time conflicts, and business conflicts according to the conflict detection rules, and sends the detection results to the early warning processing module; The warning processing module makes judgments based on the conflict detection results, generates warning information, sends it to the warning object, and processes and tracks the warning information; The process management module sends real-time process status data to users and receives manual operation instructions from users; The statistical analysis module is used to analyze the conflict detection results and warning results and output the analysis results.

[0006] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the workflow of the data acquisition and preprocessing module includes: Obtain key information of operation tickets and work tickets, and perform data preprocessing on the key information; Among them, the key information of the operation ticket includes operation instructions, sources of danger and preventive measures, and the key information of the work ticket includes safety measures, work tasks and planned construction period.

[0007] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the conflict detection module includes an equipment occupancy conflict detection module, a safety measure coverage overlap detection module, an operation time conflict detection module, and an associated business conflict detection module; The device occupancy conflict detection module includes a data extraction unit, a time comparison unit and a conflict determination unit, which detects whether the device is occupied by extracting device data, comparing time and determining device conflicts; The data extraction unit extracts the equipment name, number and operation time from the data of the operation ticket and the work ticket; The time comparison unit cross-validates the operating time periods of the same device and identifies time overlapping intervals; The conflict determination unit determines whether there is a device occupancy conflict based on the time overlap identification result, combined with the device operating status and operation type, and if there is a device occupancy conflict, outputs the conflict result to the warning processing module to generate conflict warning information; The beneficial effect of this preferred solution is that the device occupancy conflict detection module can accurately identify the multi-task overlapping operations of the same device, thereby avoiding erroneous operations or device overload caused by device resource contention.

[0008] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the safety measure coverage overlap detection module includes: The security measure coverage overlap detection module includes a measure parsing unit, a range definition unit, and an overlap verification unit, which verifies whether the security ranges overlap by parsing the security measures and determining the security ranges; The measure parsing unit extracts the power outage range and grounding position from the safety measure text through natural language processing, converts them into structured data, and obtains a parsing result; The scoping unit maps the parsing results to a power topology model to determine the physical area covered by the safety measures; The overlap verification unit detects whether the security measures areas of different tickets overlap by using spatial superposition analysis technology. If the areas overlap, the detection result is output to the warning processing module to generate risk warning information; The beneficial effect of this preferred solution is that the safety measure coverage overlap detection module prevents electrical accidents caused by the failure of isolation measures by analyzing the implementation scope of the safety measures.

[0009] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the operation time conflict detection module includes: The operation time conflict detection module includes a timeline construction unit, a conflict scanning unit, and a priority evaluation unit. It arranges the operation times of the two tickets in chronological order, obtains the overlapping results of the equipment operation time periods, and prioritizes the tasks corresponding to the overlapping results. The timeline construction unit converts the planned time of all operation tickets and work tickets into a standardized time series to generate a global time view; The conflict scanning unit detects overlapping periods of multiple tasks in two tickets on the same device or task association system through a sliding window algorithm based on the global time view; The priority evaluation unit determines the priority order of tasks based on the nature of the operation and the urgency of the business.

[0010] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the associated business conflict detection module includes: The associated business conflict detection module includes a business graph modeling unit, an impact chain analysis unit, and a conflict tracing unit. By modeling the business graph, analyzing the impact chain, and tracing the conflict source, it performs multi-dimensional conflict detection on the business. The business graph modeling unit constructs an association network between operation tickets, work tickets and businesses to generate an association graph; The influence chain analysis unit identifies dependencies between cross-businesses based on the association graph; The conflict tracing unit tracks conflicting nodes in the service chain and generates collaborative failure warnings; The beneficial effect of this preferred solution is that it can detect potential conflict risks in advance based on its all-round detection capabilities, including equipment occupancy, security measures coverage, operation time and related services.

[0011] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the early warning processing module includes: The warning level setting module uses a dynamic weight model to grade conflict detection results, including a risk factor quantification unit, a multi-dimensional fusion unit, and a threshold adaptive mechanism unit; The warning information generation module generates warning information based on the conflict detection results, including an event structuring unit, a semantic encapsulation engine unit, and a multimodal generation unit; The warning information release module identifies and sends the warning information to the warning object according to the warning information, and monitors the review and feedback of the warning information, including an object recognition unit, a path optimization unit and a feedback closed-loop unit; Warning processing tracking module, records warning information and feedback information, and tracks the warning processing results; The beneficial effect of this preferred solution is that the early warning processing module ensures that key risks are transmitted to responsible personnel in a timely manner through dynamic hierarchical early warning and multi-channel information access, while tracking the disposal closed loop, effectively reducing safety hazards caused by human negligence or process loopholes, and ensuring the safety of power workers and stable operation of equipment from the source.

[0012] As a preferred solution of the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in the present invention, the workflow of the statistical analysis module includes: Obtain conflict data and analyze the conflict data to obtain the distribution of different types of conflicts in different time periods and on different devices; Obtain and evaluate early warning information and early warning processing results, calculate the response time, processing rate and processing result indicators of early warning information, and optimize the early warning processing mechanism based on the indicator results; Obtain the execution data of the two tickets for analysis and calculate the execution result indicators of the two tickets.

[0013] In a second aspect, the present invention provides a computer device, comprising: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, a conflict detection and early warning system for the two-ticket, multiple-business scenario of electricity is implemented.

[0014] In a third aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement a conflict detection and early warning system for the electricity two-ticket multiple-business scenario.

[0015] Compared with the existing technology, the beneficial effects of the present invention are as follows: the present invention significantly improves the safety and standardization of power operations through multi-dimensional conflict identification and intelligent early warning mechanism. The system is based on the comprehensive detection capabilities of equipment occupancy, safety measures coverage, operation time and related businesses, and can detect potential conflict risks in advance; through the deep integration of operation time conflict detection and related business conflict analysis, the system can optimize the execution order of multiple tasks, reduce process interruptions or repeated operations caused by time conflicts, greatly improve the operational reliability and resource utilization of the power system, and provide a standardized and intelligent solution for power safety management and control in complex multi-business scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0017] Figure 1 This is a schematic diagram of the overall structure of a conflict detection and early warning system for a two-ticket, multiple-business scenario in electricity according to an embodiment of the present invention.

[0018] Figure 2 This is a structural diagram of a conflict detection module of a conflict detection and early warning system for a two-ticket, multiple-business scenario in electricity according to an embodiment of the present invention.

[0019] Figure 3 This is a structural diagram of the warning processing module of the conflict detection and warning system for the electricity two-ticket multiple-business scenario according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0021] Reference Figure 1-Figure 3 , which is an embodiment of the present invention, provides a conflict detection and early warning system for a two-ticket, multi-business scenario of electricity, including: Data acquisition and preprocessing module, used to obtain data on operation tickets and work tickets; The rule engine module defines conflict detection rules for devices and services based on the data obtained by the data acquisition and preprocessing module; The conflict detection module detects equipment conflicts, security conflicts, two-ticket operation time conflicts, and business conflicts according to the conflict detection rules, and sends the detection results to the early warning processing module; The early warning processing module makes judgments based on the conflict detection results, generates early warning information, sends it to the warning object, and processes and tracks the early warning information; The process management module sends real-time process status data to users and receives manual operation instructions from users; The statistical analysis module is used to analyze the conflict detection results and warning results and output the analysis results.

[0022] Furthermore, the system also includes a user interaction module for performing human-computer interaction operations and displaying output results. The process management module sends real-time process status data to the user interaction module and receives manual operation instructions from the user interaction module.

[0023] In this embodiment, the data acquisition and preprocessing module transmits the cleaned and standardized data to the rule loading port and the raw data inlet of the rule engine module and the conflict detection module at the same time; The rule engine module injects the latest judgment logic into the conflict detection module through the dynamic rule update interface, and maintains linkage with the rule execution unit of the process management module through the policy synchronization channel; The conflict event output of the conflict detection module is directly connected to the real-time alarm receiver of the early warning processing module, and a copy of the detection results is transmitted to the original database of the statistical analysis module. The early warning processing module interacts with the process intervention node of the process management module through the instruction issuance interface, and pushes alarm details to the early warning display panel of the user interaction module through the visual data channel. The process management module transmits real-time process status data to the process monitoring interface of the user interaction module through the state synchronization link, and receives manual operation instructions from the user interaction module; The statistical analysis module outputs the data report to the report engine of the user interaction module through the analysis result feedback channel, and at the same time obtains the analysis dimension settings from the parameter configuration port of the user interaction module.

[0024] In a preferred embodiment, the workflow of the data acquisition and preprocessing module includes: Obtain key information of operation tickets and work tickets, and perform data preprocessing on key information; Among them, the key information of the operation ticket includes operation instructions, sources of danger, and preventive measures, while the key information of the work ticket includes safety measures, work tasks, and planned construction period.

[0025] Specifically, the data collection and preprocessing module obtains various key information of operation tickets and work tickets from the production management system ePMS. At the same time, considering that there may be special circumstances outside the system in actual work, the module also supports manual entry of two-ticket information. In the data preprocessing stage, the collected data will be cleaned.

[0026] In this embodiment, the collected data can be cleaned by checking whether the equipment name and number in the operation ticket and work ticket are consistent with the on-site identification to avoid subsequent conflict detection errors due to incorrect names or numbers; it can also ensure that the time format complies with the 24-hour system requirements to ensure the accuracy of the time information; it can also uniformly convert data in different formats into a format that can be processed within the system to facilitate efficient analysis and comparison by subsequent modules.

[0027] In this embodiment, the rule engine module defines a comprehensive set of conflict detection rules based on the detailed provisions in the reference document. Taking the equipment occupancy conflict rule as an example, the rule explicitly requires extracting the equipment name, number, and usage time from both tickets, and then determining whether there is a conflict by comparing whether there is an operation request for the same equipment during the same time period. The rule engine module not only defines rules, but administrators can also add, modify, delete, and query rules at any time based on actual work conditions. For example, when the equipment or operating procedures of the power system change, the administrator can adjust the rules in a timely manner to ensure that the system's conflict detection always meets actual needs.

[0028] In a preferred embodiment, the conflict detection module includes a device occupancy conflict detection module, a security measure coverage overlap detection module, an operation time conflict detection module, and an associated service conflict detection module; The device occupancy conflict detection module includes a data extraction unit, a time comparison unit, and a conflict determination unit. It detects whether the device is occupied by extracting device data, comparing time, and determining device conflicts. The data extraction unit extracts the equipment name, number and operation time from the data of the operation ticket and the work ticket; The time comparison unit cross-validates the operating periods of the same equipment and identifies time overlap intervals; The conflict determination unit determines whether there is a device occupancy conflict based on the time overlap identification results, combined with the device operating status and operation type. If there is a device occupancy conflict, the conflict result is output to the warning processing module to generate conflict warning information. If there is no device occupancy conflict, the detection continues.

[0029] Specifically, the equipment occupancy conflict detection module achieves precise detection through a three-tiered structure consisting of data extraction, time comparison, and conflict determination. The data extraction unit captures core data such as equipment name, number, and operation time from operation and work tickets to ensure information integrity and accuracy. The time comparison unit cross-validates the operating time periods of the same equipment and identifies time overlap intervals using an intelligent algorithm. The conflict determination unit determines whether there is an equipment occupancy conflict based on the time overlap results, combined with the equipment's operating status and operation type. For example, if two tickets simultaneously request maintenance and switching operations on the same transformer, the module will generate a conflict alarm based on the time overlap range and the equipment's inability to operate in parallel.

[0030] In a preferred embodiment, the security measure coverage overlap detection module includes: The security measure coverage overlap detection module includes a measure parsing unit, a scope definition unit, and an overlap verification unit. It verifies whether the security scope overlaps by parsing the security measures and determining the security scope. The measures parsing unit extracts the power outage range and grounding location from the safety measures text through natural language processing, converts them into structured data, and obtains the parsing results; The scoping unit maps the analytical results to the power topology model to determine the physical area covered by the safety measures; The overlapping verification unit uses spatial overlay analysis technology to detect whether there is any overlap in the security measures areas of different tickets. If there is an overlap, the detection result is output to the early warning processing module to generate risk warning information.

[0031] Specifically, the safety measures overlap detection module employs a progressive logic of measure parsing, scoping, and overlap verification. The measure parsing unit uses natural language processing to extract key elements such as the outage scope and grounding location from the safety measures text and converts them into structured data. The scoping unit maps the parsed results to the power system topology model to clarify the physical area covered by the safety measures. The overlap verification unit uses spatial overlay analysis to detect whether the safety measures areas of different tickets overlap. For example, if two tickets simultaneously request a power outage and grounding for the same busbar section, the module will identify the overlapping areas of their coverage and trigger a safety isolation failure risk warning.

[0032] In a preferred embodiment, the operation time conflict detection module includes: The operation time conflict detection module includes a timeline construction unit, a conflict scanning unit, and a priority evaluation unit. It arranges the operation times of the two tickets in chronological order, obtains the overlapping results of the equipment operation time periods, and prioritizes the tasks corresponding to the overlapping results. The timeline construction unit converts the planned time of all operation tickets and work tickets into a standardized time series to generate a global time view; The conflict scanning unit detects the overlapping periods of multiple tasks in two tickets on the same device or task-associated system through a sliding window algorithm based on the global time view; The priority assessment unit determines the priority order of tasks based on the nature of the operation and the urgency of the business.

[0033] Specifically, the Operation Time Conflict Detection Module consists of three parts: timeline construction, conflict scanning, and priority assessment. The timeline construction unit converts the planned times of all operation tickets and work tickets into standardized time series, forming a global time view. The conflict scanning unit uses a sliding window algorithm to detect overlapping time periods of multiple tasks on the same equipment or related systems. The priority assessment unit quantifies the severity of conflicts based on the nature of the operation and the urgency of the business. For example, if the maintenance of important equipment overlaps with the system switching operation, the module will combine the maintenance level and the scope of the switching operation to determine a red-level time conflict that requires urgent attention.

[0034] In a preferred embodiment, the associated service conflict detection module includes: The associated business conflict detection module includes a business graph modeling unit, an impact chain analysis unit, and a conflict tracing unit. By modeling the business graph, analyzing the impact chain, and tracing the conflict source, it performs multi-dimensional conflict detection on the business. The business graph modeling unit constructs the association network between operation tickets, work tickets and businesses, and generates an association graph; The impact chain analysis unit identifies cross-business dependencies based on the association graph; The conflict tracing unit tracks conflicting nodes in the business chain and generates collaborative failure warnings.

[0035] Specifically, the associated business conflict detection module realizes multi-dimensional detection through business graph modeling, impact chain analysis and conflict tracing. The business graph modeling unit builds an associated network between operation tickets, work tickets and power grid operation, equipment maintenance and other businesses; the impact chain analysis unit identifies cross-business dependencies based on the associated graph, such as the associated impact of maintenance work on the switching of backup power supplies; the conflict tracing unit tracks the conflicting nodes in the business chain. For example, when a line is shut down for maintenance, the calibration of the associated protection device is not suspended synchronously. The module will locate such cross-business execution faults and generate collaborative failure warnings.

[0036] It should be noted that the present invention's comprehensive detection capabilities for device occupancy, safety measure coverage, operation time, and associated services enable early detection of potential conflict risks. For example, the device occupancy conflict detection module accurately identifies overlapping multi-task operations on the same device, preventing misoperation or device overloads caused by resource contention. The safety measure coverage overlap detection module analyzes the scope of safety measure implementation to prevent electrical accidents caused by the failure of isolation measures.

[0037] In a preferred embodiment, the early warning processing module includes: The warning level setting module uses a dynamic weight model to grade conflict detection results, including a risk factor quantification unit, a multi-dimensional fusion unit, and a threshold adaptive mechanism unit; The warning information generation module generates warning information based on the conflict detection results, including an event structuring unit, a semantic encapsulation engine unit, and a multimodal generation unit; The warning information release module identifies and sends warning targets based on warning information, monitors warning information, and provides feedback, including an object recognition unit, a path optimization unit, and a feedback closed-loop unit; The early warning processing tracking module records early warning information and feedback information, and tracks the early warning processing results.

[0038] Specifically, the warning level setting module adopts a dynamic weight model to implement hierarchical decision-making, which includes risk factor quantification, multi-dimensional fusion and threshold adaptive mechanism; the risk factor quantification unit evaluates the consequences of conflicts from three dimensions: equipment value, operation complexity and personnel safety; the multi-dimensional fusion unit engine generates a risk index through fuzzy logic algorithm by integrating time sensitivity, business relevance and other parameters; the threshold adaptive mechanism unit optimizes the warning trigger conditions according to historical disposal data, such as automatically lowering the warning threshold of important equipment conflicts when the equipment failure rate increases, to ensure the real-time effectiveness of the grading strategy. Among them, the warning threshold is set according to the corresponding indicators of the equipment or the actual application scenario requirements.

[0039] In this embodiment, the warning information generation module includes: The event structuring unit generates a standard data model based on conflict factors, such as equipment, time, and affected objects; The semantic encapsulation engine unit uses the domain knowledge base to convert technical parameters into natural language descriptions. For example, it converts "10kV busbar section A power outage from 09:00 to 11:00" into "busbar power outage operation during the prime load period in the morning"; The multimodal generation unit simultaneously outputs text summaries, topology diagram annotations, and timeline views to meet the cognitive needs of personnel in different positions.

[0040] In this embodiment, the warning information release module includes three units: object recognition, path optimization and feedback closed loop. The object recognition unit automatically matches the warning recipient through the job authority library to ensure that the information reaches the responsible party directly; the path optimization algorithm selects the best communication combination according to the degree of urgency, such as the first-level warning simultaneously triggering a strong SMS reminder and a scheduling large-screen pop-up window; the feedback closed loop unit monitors the reading status of the warning information in real time, initiates a follow-up call for the timed-out and unconfirmed warning, and records the response delay data for subsequent assessment and analysis.

[0041] In this embodiment, the early warning processing tracking module includes a full process of three units: disposal traces, process monitoring and effect backtracking; the disposal traces unit automatically records the response time, disposal measures and executor information of each early warning to form a complete chain of evidence; the process monitoring unit displays the disposal progress in real time and automatically upgrades and supervises tasks that are about to be overdue; the effect backtracking unit evaluates the effectiveness of the measures by comparing the equipment status data before and after the disposal, such as analyzing the equipment operation stability index after the conflict is resolved, providing empirical basis for the subsequent optimization of early warning rules.

[0042] It should be noted that the early warning processing module ensures that key risks are transmitted to responsible personnel in a timely manner through dynamic hierarchical early warning and multi-channel information access, while tracking the closed loop of disposal, effectively reducing safety hazards caused by human negligence or process loopholes, and ensuring the safety of power workers and stable operation of equipment from the source.

[0043] In this embodiment, the process management module strictly follows the implementation regulations of the operation ticket in the operation ticket process management. The operation ticket must use the unified format of the production management system ePMS, be drafted and filled out by the operator, and implement a two-level approval process, namely, review by the guardian and approval by the person in charge on duty. During the operation process, the operator and the guardian must strictly implement the operation supervision system and the ticket reading and repetition system. The process management module will monitor the status of the operation ticket in each link in real time to ensure that each step complies with the regulations. For the work ticket process management, it includes all links from filling in, issuing, permitting to extension and termination. For example, after the work ticket is completed, the work issuer must review the necessity and safety of the work and confirm that the safety measures are correct and complete. Before the work ticket is permitted, the safety measures must be strictly reviewed and informed to the person in charge on duty. This module will track and remind each link to ensure the smooth progress of the work ticket process.

[0044] In a preferred embodiment, the workflow of the statistical analysis module includes: Obtain and analyze conflict data to obtain the distribution of different types of conflicts in different time periods and devices; Obtain early warning information and early warning processing results for evaluation, calculate the response time, processing rate and processing result indicators of early warning information, and optimize the early warning processing mechanism based on the indicator results; Obtain the execution data of the two tickets for analysis and calculate the execution result indicators of the two tickets.

[0045] In this embodiment, the statistical analysis module provides a decision-making basis for the management of two power tickets by deeply mining a large amount of data within the system. Taking conflict data statistics as an example, the statistical analysis module records in detail the type of conflict, frequency of occurrence, equipment and personnel involved, and other information. By analyzing these data, it is possible to clearly understand the distribution of different types of conflicts in different time periods and equipment. For example, if statistics show that a certain device frequently encounters equipment occupancy conflicts within a specific time period, the operation plan of the device can be adjusted in a targeted manner, or the training of relevant operators can be strengthened. The statistical analysis module can evaluate the effectiveness of early warning processing and calculate indicators such as the response time, processing rate, and processing results of early warning information in order to continuously optimize the early warning processing mechanism; the statistical analysis module can also analyze the execution of two tickets, such as the execution rate and qualification rate of operation tickets, the extension rate and termination rate of work tickets, etc., which can help discover problems in the management of two tickets and take timely improvement measures.

[0046] In this embodiment, during the input process of the user interaction module, the system will perform format checking and logical verification on the input content to ensure the accuracy and completeness of the information; if the device number entered by the user does not conform to the specified format, the system will promptly prompt the user to modify it. At the same time, the interface also supports the modification and query functions of information. Users can modify the entered information at any time, or query historical two-ticket information based on different conditions, such as time range, work tasks, etc. In addition, the rule management interface makes it convenient for administrators to manage rules, the conflict detection result query interface allows users to quickly obtain conflict information, the early warning information processing interface makes it convenient for relevant personnel to handle early warnings, and the statistical analysis report interface displays statistical analysis results in the form of intuitive reports and charts, meeting the usage needs of different users.

[0047] It should be noted that the present invention significantly improves the safety and standardization of power operations through multi-dimensional conflict identification and intelligent early warning mechanism. Through the deep integration of operation time conflict detection and related business conflict analysis, the system can optimize the execution order of multiple tasks and reduce process interruptions or repeated operations caused by time conflicts; the early warning level setting and information generation module dynamically adjusts the early warning strategy in combination with the business scenario, which not only avoids excessive alarms interfering with normal operations, but also ensures that major risks are not missed; the early warning release and processing tracking module enhances the efficiency of cross-departmental collaboration through precise push and closed-loop management mechanism. For example, dispatching, operation and maintenance, and other personnel can respond quickly based on unified early warning information and adjust the operation plan synchronously; the whole process control from conflict warning to disposal implementation has greatly improved the operation reliability and resource utilization of the power system, and provided a standardized and intelligent solution for power safety management in complex multi-business scenarios.

[0048] This embodiment provides a computer device suitable for conflict detection and early warning in a scenario where two electricity invoices have multiple services, including: Memory and processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the conflict detection and early warning system for the two-ticket multi-business scenario of electricity as proposed in the above embodiment.

[0049] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the conflict detection and early warning system for the two-ticket, multiple-business scenario of electricity as proposed in the above embodiment.

[0050] The storage medium proposed in this embodiment and the conflict detection and early warning system for realizing the two-ticket multi-business scenario of electricity proposed in the above embodiment belong to the same inventive concept. The technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0051] Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented using software and necessary general-purpose hardware. Of course, it can also be implemented using hardware, but in many cases the former is a more preferred embodiment. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk, or optical disk, and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0052] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. The conflict detection and early warning system for the scenario of two electricity tickets and multiple services is characterized by: include: Data acquisition and preprocessing module, used to obtain data on operation tickets and work tickets; A rule engine module, which defines conflict detection rules for devices and services based on the data acquired by the data acquisition and preprocessing module; The conflict detection module detects equipment conflicts, security conflicts, two-ticket operation time conflicts, and business conflicts according to the conflict detection rules, and sends the detection results to the early warning processing module; The warning processing module makes judgments based on the conflict detection results, generates warning information, sends it to the warning object, and processes and tracks the warning information; The process management module sends real-time process status data to users and receives manual operation instructions from users; The statistical analysis module is used to analyze the conflict detection results and warning results and output the analysis results.

2. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 1 is characterized in that: The workflow of the data acquisition and preprocessing module includes: Obtain key information of operation tickets and work tickets, and perform data preprocessing on the key information; Among them, the key information of the operation ticket includes operation instructions, sources of danger and preventive measures, and the key information of the work ticket includes safety measures, work tasks and planned construction period.

3. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 1 is characterized in that: The conflict detection module includes a device occupancy conflict detection module, a security measure coverage overlap detection module, an operation time conflict detection module and an associated service conflict detection module; The device occupancy conflict detection module includes a data extraction unit, a time comparison unit and a conflict determination unit, which detects whether the device is occupied by extracting device data, comparing time and determining device conflicts; The data extraction unit extracts the equipment name, number and operation time from the data of the operation ticket and the work ticket; The time comparison unit cross-validates the operating time periods of the same device and identifies time overlapping intervals; The conflict determination unit determines whether there is a device occupancy conflict based on the time overlap recognition result, combined with the device operating status and operation type. If there is a device occupancy conflict, the conflict result is output to the warning processing module to generate conflict warning information.

4. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 3 is characterized in that: The safety measures cover overlapping detection module including: The security measure coverage overlap detection module includes a measure parsing unit, a range definition unit, and an overlap verification unit, which verifies whether the security ranges overlap by parsing the security measures and determining the security ranges; The measure parsing unit extracts the power outage range and grounding position from the safety measure text through natural language processing, converts them into structured data, and obtains a parsing result; The scoping unit maps the parsing results to a power topology model to determine the physical area covered by the safety measures; The overlap verification unit detects whether there is any intersection in the security measures areas of different tickets through spatial superposition analysis technology. If there is any intersection, the detection result is output to the warning processing module to generate risk warning information.

5. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 4 is characterized in that: The operation time conflict detection module includes: The operation time conflict detection module includes a timeline construction unit, a conflict scanning unit, and a priority evaluation unit. It arranges the operation times of the two tickets in chronological order, obtains the overlapping results of the equipment operation time periods, and prioritizes the tasks corresponding to the overlapping results. The timeline construction unit converts the planned time of all operation tickets and work tickets into a standardized time series to generate a global time view; The conflict scanning unit detects overlapping periods of multiple tasks in two tickets on the same device or task association system through a sliding window algorithm based on the global time view; The priority evaluation unit determines the priority order of tasks based on the nature of the operation and the urgency of the business.

6. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 5 is characterized in that: The associated service conflict detection module includes: The associated business conflict detection module includes a business graph modeling unit, an impact chain analysis unit, and a conflict tracing unit. By modeling the business graph, analyzing the impact chain, and tracing the conflict source, it performs multi-dimensional conflict detection on the business. The business graph modeling unit constructs an association network between operation tickets, work tickets and businesses to generate an association graph; The influence chain analysis unit identifies dependencies between cross-businesses based on the association graph; The conflict tracing unit tracks conflicting nodes in the service chain and generates a collaborative failure warning.

7. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 6 is characterized in that: The early warning processing module includes: The warning level setting module uses a dynamic weight model to grade conflict detection results, including a risk factor quantification unit, a multi-dimensional fusion unit, and a threshold adaptive mechanism unit; The warning information generation module generates warning information based on the conflict detection results, including an event structuring unit, a semantic encapsulation engine unit, and a multimodal generation unit; The warning information release module identifies and sends the warning information to the warning object according to the warning information, and monitors the review and feedback of the warning information, including an object recognition unit, a path optimization unit and a feedback closed-loop unit; The warning processing tracking module records warning information and feedback information, and tracks the warning processing results.

8. The conflict detection and early warning system for the electricity two-ticket multiple-business scenario according to claim 1 is characterized in that: The workflow of the statistical analysis module includes: Obtain conflict data and analyze the conflict data to obtain the distribution of different types of conflicts in different time periods and on different devices; Obtain and evaluate early warning information and early warning processing results, calculate the response time, processing rate and processing result indicators of early warning information, and optimize the early warning processing mechanism based on the indicator results; Obtain the execution data of the two tickets for analysis and calculate the execution result indicators of the two tickets.

9. A computer device, characterized in that: include: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the conflict detection and early warning system for the two-ticket-multiple-business scenario of electricity described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that It stores computer-executable instructions, which, when executed by a processor, implement the conflict detection and early warning system for the electricity two-ticket multiple-business scenario described in any one of claims 1 to 8.

Images